Maple code for algorithm 3. by Peter Thompson (165468)

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Code and data. by Shangyang Jin (21772466)

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The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

“…Additionally, formulae for the first through sixth-order radial derivatives are also derived by a recursive method. Numerical test in a mountain area reveals theoretical defects exist in the high-order radical derivatives based on the direct derivation method, whereas the recursive method proves to be effective and practical. …”

Reported MATLAB data code. by Jotham Josephat Kimondo (19139409)

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The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. by Agata Skorupka (20469080)

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Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Data & code. by Mingming Li (502877)

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code&data by Liyuan Liu (18298084)

“…It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …”

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

S1 Code - by Jialiang Zhang (1574704)

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data_code.zip by Mengmeng Gong (20129994)

“…This study introduces a novel inflation algorithm t-X for parameter estimation and validates its feasibility based on theICM used for El Nino and Southern Oscillation (ENSO) simulation and prediction. …”

Code and data - WST 895 thesis by Hoosain Ebrahim (14058588)

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

Data and code used in this article. by Yazhen Zhu (3595430)

“…By comparing the optimization results of the proposed algorithm with those of the latest multi-population genetic algorithm (MGA) and the market-based bundle task allocation method (MBTA), it is evident that both the proposed algorithm and MGA achieve higher AGV utilization and shorter total task completion times than MBTA, while also optimizing no-load distances. …”

Classification of PavCA Index scores with the k-Means algorithm where k = 3. by Camille Godin (21445879)

Analysis of the proposed method with the other state-of-the-art methods based on recall. by Sunil Kumar (102321)

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